XEWGraph : Outil de Visualisation et Analyse des Hypergraphes pour un Système d'Intelligence Economique. - Zakaria Boulouard; Amine El Haddadi; Anass El Haddadi; Lahcen Koutti; Abdelhadi Fennan (EGC, 2015)

Efficient object matching using partial dominant orientation descriptor. - Abdessamad Elboushaki; Rachida Hannane; Karim Afdel; Lahcen Koutti (ICTA, 2015)

An independent-domain natural language interface for relational database: Case Arabic language. - Hanane Bais; Mustapha Machkour; Lahcen Koutti (AICCSA, 2016)

Matching of omnidirectional images based on the geodesic distance. - Ibrahim Guelzim; Amina Amkoui; Lahcen Koutti (AICCSA, 2016)

Temporal consistent stereo matching approach for road applications. - Lahcen Koutti; Ilyas El Jaafari; Mohamed El Ansari (AICCSA, 2016)

Visualizing Large Graphs Out of Unstructured Data for Competitive Intelligence Purposes. - Zakaria Boulouard; Lahcen Koutti; Nihal Chouati; Amine El Haddadi; Bernard Dousset; Anass El Haddadi; Fadwa Bouhafer (IntelliSys (1), 2016)

Fast spatio-temporal stereo matching for advanced driver assistance systems. - Ilyas El Jaafari; Mohamed El Ansari; Lahcen Koutti; Abdenbi Mazoul; Ayoub Ellahyani (Neurocomputing, 2016)

A robust approach for object matching and classification using Partial Dominant Orientation Descriptor. - Abdessamad Elboushaki; Rachida Hannane; Karim Afdel; Lahcen Koutti (Pattern Recognit., 2017)

Fast edge-based stereo matching approach for road applications. - Ilyas El Jaafari; Mohamed El Ansari; Lahcen Koutti (Signal Image Video Process., 2017)

An Arabic natural language interface for querying relational databases based on natural language processing and graph theory methods. - Hanane Bais; Mustapha Machkour; Lahcen Koutti (Int. J. Reason. based Intell. Syst., 2018)

An independent-domain natural language interface for multimodel databases. - Hanane Bais; Mustapha Machkour; Lahcen Koutti (Int. J. Comput. Intell. Stud., 2019)

MultiD-CNN: A multi-dimensional feature learning approach based on deep convolutional networks for gesture recognition in RGB-D image sequences. - Abdessamad Elboushaki; Rachida Hannane; Karim Afdel; Lahcen Koutti (Expert Syst. Appl., 2020)

A model of a generic Arabic language interface for multimodel database. - Hanane Bais; Mustapha Machkour; Lahcen Koutti (Int. J. Speech Technol., 2020)

Improving articulated hand pose detection for static finger sign recognition in RGB-D images. - Abdessamad Elboushaki; Rachida Hannane; Karim Afdel; Lahcen Koutti (Multim. Tools Appl., 2020)

Using Directional Arc Consistency with Asynchronous Forward-Bounding algorithm. - Rachid Adrdor; Lahcen Koutti (OVERLAY@GandALF, 2021)

Asynchronous Forward-Bounding algorithm with Directional Arc Consistency. - Rachid Adrdor; Lahcen Koutti (ICLP Workshops, 2021)

Improvement of Arc Consistency in Asynchronous Forward Bounding Algorithm. - Rachid Adrdor; Lahcen Koutti (AI, 2022)

Bleeding classification in Wireless Capsule Endoscopy Images based on Inception-ResNet-V2 and CNNs. - Anass Garbaz; Samira Lafraxo; Said Charfi; Mohamed El Ansari; Lahcen Koutti (CIBCB, 2022)

Melanoma Lesion Recognition using Deep Convolutional Neural Network and Global Average Pooling. - Samira Lafraxo; Mohamed El Ansari; Lahcen Koutti (CommNet, 2022)

PedVis-VGG-16: A Fine-tuned deep convolutional neural network for pedestrian image classifications. - Mahassine Defaoui; Lahcen Koutti; Mohamed El Ansari; Redouan Lahmyed; Lhoussaine Masmoudi (WINCOM, 2022)

Gastrointestinal diseases classification based on deep learning and transfer learning mechanism. - Yassine Oukdach; Zakaria Kerkaou; Mohamed El Ansari; Lahcen Koutti; Ahmed Fouad El Ouafdi (WINCOM, 2022)

Bleeding Segmentation Based on a Bleeding Feature Engagement Module in Wireless Capsule Endoscopy. - Anass Garbaz; Said Charfi; Mohamed El Ansari; Lahcen Koutti; Mouna Salihoun (SITIS, 2023)

GP-SSD: Real-Time Automatic Detection of Polyp Diseases from Gastrointestinal Endoscopic Images. - Meryem Souaidi; Mohamed El Ansari; Lahcen Koutti; Mouna Salihoun (SITIS, 2023)

GastroSegNet: Polyp Segmentation using Colonoscopic Images Based on AttentionU-net Architecture. - Samira Lafraxo; Mohamed El Ansari; Lahcen Koutti (WINCOM, 2023)

ConV-ViT: Feature Fusion-based Detection of Gastrointestinal Abnormalities using CNN and ViT in WCE Images. - Yassine Oukdach; Zakaria Kerkaou; Mohamed El Ansari; Lahcen Koutti; Ahmed Fouad El Ouafdi (WINCOM, 2023)

A reinforcement learning based routing protocol for software-defined networking enabled wireless sensor network forest fire detection. - Noureddine Moussa; Edmond Nurellari; Kebira Azbeg; Abdellah Boulouz; Karim Afdel; Lahcen Koutti; Mohamed Ben Salah; Abdelbaki El Belrhiti El Alaoui (Future Gener. Comput. Syst., 2023)

Bleeding Segmentation Based on a U-Formed Network with Separable Contextual Feature-Guided in Wireless Capsule Endoscopy Images. - Anass Garbaz; Yassine Oukdach; Said Charfi; Mohamed El Ansari; Lahcen Koutti; Mouna Salihoun (WINCOM, 2024)

VGG16U-Net with Attention Based Semantic Segmentation of Gastrointestinal Abnormalities. - Zakaria Kerkaou; Yassine Oukdach; Mohamed El Ansari; Lahcen Koutti; Samira Lafraxo; Meryem Souaidi (WINCOM, 2024)

AttDenseUnet : Segmentation of Polyps from Colonoscopic Images Based on Attention-DenseNet-Unet Architecture. - Samira Lafraxo; Mohamed El Ansari; Lahcen Koutti; Zakaria Kerkaou; Meryem Souaidi (WINCOM, 2024)

Advancements in Polyp Detection: A Developed Single Shot Multibox Detector Approach. - Mohamed Achraf Belabbes; Yassine Oukdach; Meryem Souaidi; Lahcen Koutti; Said Charfi (IEEE Access, 2024)

A super resolution method based on generative adversarial networks with quantum feature enhancement: Application to aerial agricultural images. - Khalid El Amraoui; Ziqiang Pu; Lahcen Koutti; Lhoussaine Masmoudi; José Valente de Oliveira (Neurocomputing, 2024)

Spatiotemporal Prediction of Monthly Coastal Upwelling Scenario in SST Fields Using Deep-Learning-Based Models. - Mohamed Snoussi; Ayoub Tamim; Salma El Fellah; Lahcen Koutti (IEEE Geosci. Remote. Sens. Lett., 2024)

Computer-aided system for bleeding detection in WCE images based on CNN-GRU network. - Samira Lafraxo; Mohamed El Ansari; Lahcen Koutti (Multim. Tools Appl., 2024)

Modified residual attention network for abnormalities segmentation and detection in WCE images. - Said Charfi; Mohamed El Ansari; Lahcen Koutti; Ayoub Ellahyani; Ilyas El Jaafari (Soft Comput., 2024)

ViTCA-Net: a framework for disease detection in video capsule endoscopy images using a vision transformer and convolutional neural network with a specific attention mechanism. - Yassine Oukdach; Zakaria Kerkaou; Mohamed El Ansari; Lahcen Koutti; Ahmed Fouad El Ouafdi; Thomas de Lange (Multim. Tools Appl., 2024)

Abnormalities detection from wireless capsule endoscopy images based on embedding learning with triplet loss. - Said Charfi; Mohamed El Ansari; Lahcen Koutti; Ayoub Ellahyani; Ilyas El Jaafari (Multim. Tools Appl., 2024)

A new hybrid approach for pneumonia detection using chest X-rays based on ACNN-LSTM and attention mechanism. - Samira Lafraxo; Mohamed El Ansari; Lahcen Koutti (Multim. Tools Appl., 2024)

Feature Pyramid Network Based Spatial Attention and Cross-Level Semantic Similarity for Diseases Segmentation From Capsule Endoscopy Images. - Said Charfi; Mohamed El Ansari; Lahcen Koutti; Ilyas El Jaafari; Ayoub Ellahyani (Int. J. Imaging Syst. Technol., 2024)

Corrections to "Advancements in Polyp Detection: A Developed Single Shot Multibox Detector Approach". - Mohamed Achraf Belabbes; Yassine Oukdach; Meryem Souaidi; Lahcen Koutti; Said Charfi (IEEE Access, 2025)

DMFC-UFormer: Depthwise multi-scale factorized convolution transformer-based UNet for medical image segmentation. - Anass Garbaz; Yassine Oukdach; Said Charfi; Mohamed El Ansari; Lahcen Koutti; Mouna Salihoun (Biomed. Signal Process. Control., 2025)

MLFE-UNet: Multi-Level Feature Extraction Transformer-Based UNet for Gastrointestinal Disease Segmentation. - Anass Garbaz; Yassine Oukdach; Said Charfi; Mohamed El Ansari; Lahcen Koutti; Mouna Salihoun; Samira Lafraxo (Int. J. Imaging Syst. Technol., 2025)

GSAC-UFormer: Groupwise Self-Attention Convolutional Transformer-Based UNet for Medical Image Segmentation. - Anass Garbaz; Yassine Oukdach; Said Charfi; Mohamed El Ansari; Lahcen Koutti; Mouna Salihoun (Cogn. Comput., 2025)

SEDARU-net: a squeeze-excitation dilated based residual U-Net with attention mechanism for automatic melanoma lesion segmentation. - Samira Lafraxo; Mohamed El Ansari; Lahcen Koutti; Zakaria Kerkaou; Meryem Souaidi (Multim. Tools Appl., 2025)